Reliability and Validity of CHO-CHO-Mobile Scale in Young Medical Adolescent Students in Bhopal - A Pilot Study

Reliability and Validity of CHO-CHO-Mobile Scale

Authors

  • Sunil Chouhan
  • Abhijit P Pakhare
  • E. Chiranjeevi Kumar
  • E.P. Praveen

Keywords:

HPA Questionnaire, cronbach's alpha, Content Validity Index

Abstract

Context (Background): Mobile phone, the modern gadget is becoming integral part of daily human activity. This study attempts to develop a questionnaire to assess how mobile phone is being used by medical students in their daily life. Objective: To find out the Validity and reliability of CHO-CHO-Mobile scale in adolescents Indian medicals students in Bhopal. Method: A 30 item questionnaire was developed and its Content Validity Index was calculated by circulating it amongst 10 subject experts. Then cross-sectional study was designed to test a questionnaire (items with CVI-Item >0.8) among young medical students from three different medical colleges. Factor reduction and domain identification was done by using Principal Component Analysis wherein factors with Eigen value > 1 and which explains >5% variance was identified. Reliability analysis was done by using cronbach's alpha and Split Half reliability. All analyses were done by using IBM SPSS 21 version software. Result: Twenty seven questions were shortlisted based on Content Validity Index value for each item (Items with CVI-I>0.8) to be included in CHO-CHO Mobile Scale. This 22 item scale was administered to 286 medical students. We identified 9 factors based on criterion and further each question was selected if factor loading is >0.30. These 9 factors are General Utility, Time spent in different habits, Withdrawal, Control over usage, Time spent for social media, Academic utility, Relation to sleep, Habit, Preference over safety. CHO-CHO scale demonstrated medium reliability (Cronbach alpha = 0.667). Conclusion: A 22 item CHO-CHO Mobile scale has been developed which can be used to assess mobile dependence in medical students. Assessment of mobile dependence can be useful in studying its association with their lifestyle and health risk behaviours. This scale has acceptable value of Cronbach alpha and Split-half for assessing reliability. [Sunil C NJIRM 2017; 8(5):27-32]

References

1. Heggustuen J. One In Every 5 People In The World Own A Smartphone, One In Every 17 Own A Tablet. Bus Insid. 2013;5–6.
2. Chen J V., Yen DC, Chen K. The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Inf Manag. 2009;46(4):241–8
3. Lapidot-Lefler N, Barak A. Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition. Comput Human Behav. 2012;28(2):434–43.
4. Suler J. The online disinhibition effect. CyberPsychology Behav. 2004;7(3):321–6.
5. Hong FY, Chiu SI, Huang DH. A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Comput Human Behav. 2012;28(6):2152–9.
6. Takao M, Takahashi S, Kitamura M. Addictive personality and problematic mobile phone use. Cyberpsychol Behav. 2009;12(5):501–7.
7. Kim D, Lee Y, Lee J, Nam JK, Chung Y. Development of Korean Smartphone Addiction Proneness Scale for youth. PLoS One. 2014;9(5).
8. Lee. Exploration of the Predicting Variables Affecting the Addictive Mobile Phone Use. The Korean Journal of Social and Personality Psychology.2008; 22(1):133–157.
9. Kim D, Lee Y, Lee J, Kim M, Keum C, Nam J. New patterns in media addiction: is smartphone a substitute or a complement to the internet? Korea J Youth Couns. 2012;20(1):71–88.
10. Roggeveen S, van Os J, Viechtbauer W, Lousberg R. EEG Changes Due to Experimentally Induced 3G Mobile Phone Radiation. PLoS One. 2015;10(6):e0129496.
11. Preziosa A, Grassi A, Gaggioli A, Riva G. Therapeutic applications of the mobile phone. Br J Guid Counc. 2009;37(3):313–25.
12. Arsand E, Tatara N, Ostengen G, Hartvigsen G.Mobile Phone-Based Self-Management Tools for Type 2 Diabetes: The Few Touch Application. J Diabetes Sci Technol. 2010;4(2):328–36. 13. Patrick K, Griswold WG, Raab F, Intille SS. Health and the Mobile Phone. Americanjournal of preventive medicine.2008; 35(2):177-181.
14. Bomhold CR. Educational use of smart phone technology: A survey of mobile phone application use by undergraduate university students. Progr Electron Libr Inf Syst. 2013;47(4):424–36.
15. Lu M. Effectiveness of vocabulary learning via mobile phone. J Comput Assist Learn. 2008;24(6):515–25.
16. Kim D, Development of Korean Smartphone Addiction Proneness Scale for youth. PLoS One. 2014;9(5).
17. Sohn S. Competition and Substitution of Digital Media: Usage Patterns of News, Sports, and Adult Content. Journal of Cyber communication 2005; 16:273–308.
18. Johansen C, Boice Jr JD, McLaughlin JK, Olsen JH. Cellular telephones and cancer Fa nationwide cohort study in Denmark. J Natl Cancer I 2001; 93:203–7.
19. Auvinen A, Hietanen M, Luukkonen R, Koskela RS. Brain tumours and salivary gland cancers among cellular telephone users. Epidemiology 2002; 13:356–9.
20. Christensen HC, Schu¨z J, Kosteljanetz M, Poulsen HS, Boice JD, McLaughlin JK, et al. Cellular telephones and risk for brain tumours’: a population-based, incident case-control study. Neurology 2005; 64:1189–95.
21. Hepworth SJ, Schoemaker MJ, Muir KR, Swerdlow AJ, van Tongeren MJA, McKinney PA. Mobile phone use and risk of glioma in adults: case-control study. Brit Med J 2006; 332:883–7.
22. Takebayashi T, Varsier N, Kikuchi Y, Wake K, Taki M, Watanabe S, et al. Mobile phone use, exposure to radiofrequency electromagnetic field, and brain tumour: a case-control study. Brit J Cancer 2008; 98:652–9.
23. Hours M, Bernard M, Montestrucq L, Arslan M, Bergeret A, Deltour I, et al. Cell phones and risk of brain and acoustic nerve tumours: the French INTERPHONE case-control study. RevEpidemiol Sante 2007; 55:321–32.
24. Klaeboe L, Blaasaas KG, Tynes T. Use of mobile phones in Norway and risk of intracranial tumours. Eur J Cancer Prev 2007; 16:158–64.
25. Ro¨o¨sli M. Radiofrequency electromagnetic field exposure and non-specific symptoms of
ill health: a systematic review. Environ Res 2008; 107:277–87.
26. Koo HY. [Development of a cell phone addiction scale for korean adolescents]. J Korean Acad Nurs. 2009;39(6):818–28.
27. Güzeller CO, Coşguner T. Development of a problematic mobile phone use scale for Turkish adolescents. Cyberpsychol Behav Soc Netw. 2012;15(4):205–11.
28. Ryu YS, Smith-Jackson TL. Reliability and Validity of the Mobile Phone Usability Questionnaire ( MPUQ ). J Usability Stud. 2006;2(1):39–53.
29. Turpin RS, Ozminkowski RJ, Sharda CE, Collins JJ, Berger ML, Billotti GM, et al. Reliability and validity of the Stanford Presenteeism Scale. J Occup Environ Med. 2004;46(11):1123–33.
30. Demirci K, Orhan H, Demirdas A, Akpinar A, Sert H. Validity and reliability of the Turkish Version of the Smartphone Addiction Scale in a younger population. Klin Psikofarmakol Bülteni / Bull Clin Psychopharmacol. 2014;24(3):226–34.
31. Mohammadbeigi A, Absari R, Valizadeh F, Saadati M, Sharifimoghadam S, Ahmadi A, et al. Sleep Quality in Medical Students; the Impact of Over-Use of Mobile Cell-Phone and Social Networks. J Res Health Sci. 2016;16(1):46–50.
32. Nacar M, Baykan Z, Cetinkaya F, Arslantas D, Ozer A, Coskun O, et al. Health promoting lifestyle behaviour in medical students: A multicentre study from Turkey. Asian Pacific J Cancer Prev. 2014;15(20):8969–74.
33. 33.Tan Ç, Pamuk M, Dönder A. Loneliness and Mobile Phone. Procedia - Soc Behav Sci. 2013;103:606–11.
34. Hong FY, Chiu SI, Huang DH. A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Comput Human Behav. 2012;28(6):2152–9.
35. Ezoe S, Toda M, Yoshimura K, Naritomi A, Den R, Morimoto K. Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Soc Behav Personal an Int J. 2009;37(2):231–8.
36. Santhalingam B, Revathi K, Devi J. Mobile Phone Usage Survey among Students andStaffs of Universities Using Data Mining Technique. Int J Sci Eng Res. 2011;2(10):1–5.
37. 37.Kuznekoff JH, Titsworth S. The Impact of Mobile Phone Usage on Student Learning. Commun Educ. 2013;62(3):233–52.

Downloads

Published

2018-02-05

How to Cite

Chouhan, S., Pakhare, A. P., Kumar, E. C., & Praveen, E. (2018). Reliability and Validity of CHO-CHO-Mobile Scale in Young Medical Adolescent Students in Bhopal - A Pilot Study: Reliability and Validity of CHO-CHO-Mobile Scale. National Journal of Integrated Research in Medicine, 8(5), 27–32. Retrieved from http://nicpd.ac.in/ojs-/index.php/njirm/article/view/1300

Issue

Section

Original Articles